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monabeldi

PROFILE

Monabeldi

Mona Beldi developed advanced AI-driven talent assessment and onboarding features for the Dar-Blockchain/talentai repository, focusing on scalable workflows and robust data models. Over three months, she engineered APIs for generating and analyzing interview, onboarding, and project questions, integrating AI/ML and prompt engineering to automate candidate evaluation. Her work included secure Hedera wallet-based account creation, persistent assessment tracking, and migration to TogetherAI for improved AI scalability. Using JavaScript, Node.js, and Mongoose, Mona enhanced backend reliability, data integrity, and auditability. The solutions streamlined candidate screening, standardized project evaluations, and enabled data-driven decision-making, reflecting a deep understanding of backend and AI integration.

Overall Statistics

Feature vs Bugs

82%Features

Repository Contributions

100Total
Bugs
10
Commits
100
Features
45
Lines of code
18,611
Activity Months3

Work History

July 2025

11 Commits • 2 Features

Jul 1, 2025

July 2025 highlights for Dar-Blockchain/talentai: Delivered AI-assisted assessment capabilities and analytics to standardize project evaluations and enable data-driven decisions across talent projects. Focused on creating a scalable, user-centered workflow with robust data models and AI prompts.

June 2025

72 Commits • 38 Features

Jun 1, 2025

June 2025 monthly performance summary for Dar-Blockchain/talentai focusing on onboarding and job assessment systems, data modeling, and API enhancements. The work delivered combines substantial feature improvements, reliability safeguards, and clear business value in talent evaluation, onboarding efficiency, and data-driven decisioning.

May 2025

17 Commits • 5 Features

May 1, 2025

May 2025 performance summary for Dar-Blockchain/talentai: Strengthened hiring workflow and on-chain reliability while expanding AI capabilities. Key features delivered include Hedera wallet-based account creation with secure transaction signing, AI Interview Questions Generator API, persistence/linking of job assessments, migration to TogetherAI across AI features, and AI-driven ToDo List for candidate profiles. Major bugs fixed include Gmail signing issues in Hedera integration and robust evaluation result parsing. Impact: faster candidate screening, improved data integrity and auditability, and scalable AI workloads. Technologies demonstrated: Hedera SDK wallet signer pattern, TogetherAI integration, API design, DB persistence, AI toolchains, and robust JSON parsing.

Activity

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Quality Metrics

Correctness84.2%
Maintainability82.8%
Architecture80.4%
Performance76.8%
AI Usage49.0%

Skills & Technologies

Programming Languages

JSONJavaScript

Technical Skills

AI IntegrationAI Prompt EngineeringAI/MLAI/ML IntegrationAPI ConfigurationAPI DevelopmentAPI IntegrationAPI SecurityBackend DevelopmentBlockchainCode OrganizationCode ReadabilityData ParsingDatabase AggregationDatabase Integration

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Dar-Blockchain/talentai

May 2025 Jul 2025
3 Months active

Languages Used

JSONJavaScript

Technical Skills

AI IntegrationAPI DevelopmentAPI IntegrationBackend DevelopmentBlockchainDatabase Integration

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